Data Engineer

• Design and scale Databricks Lakehouse architecture on AWS to support diverse data workloads
• Architect, develop and maintain robust and reusable data pipelines using Databricks (PySpark/Python) for structured and unstructured data
• Implement and optimize Delta Lake structures and data modeling strategies
• Build and maintain CI/CD pipelines for notebooks and job workflows, support version control and automated testing
• Optimize compute costs, cluster configs, and query performance across the platform
• Configure and manage Unity Catalog for access control, lineage, and data security
• Partner with DevOps, Cloud, and Analytics teams to align infrastructure and business needs
• Act as a technical mentor to the engineering team; help with upskilling and best practices

Senior Data Architect – Databricks Lakehouse

Data Engineer

Data Architect

Senior Data Engineer

Data Engineering Intern, Year-Round

Senior Data Engineer, Snowflake, Data Stage